---
base_model: HuggingFaceTB/SmolVLM-256M-Instruct
library_name: transformers
model_name: SmolVLM-256M-Instruct-SFT-CLEVR
tags:
- generated_from_trainer
- trl
- sft
licence: license
---

# Model Card for SmolVLM-256M-Instruct-SFT-CLEVR

This model is a fine-tuned version of [HuggingFaceTB/SmolVLM-256M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).


## Training procedure



This model was trained with SFT.

### Framework versions

- TRL: 0.12.0
- Transformers: 4.47.0
- Pytorch: 2.5.1+cu121
- Datasets: 3.0.2
- Tokenizers: 0.21.0

## Citations



Cite TRL as:
    
```bibtex
@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}
```